🚚 Fleet Management System

A smart and scalable Fleet Management System designed to monitor, track, and manage vehicle fleets in real-time. This system leverages IoT devices and web technologies to enhance logistics operations, reduce fuel costs, and ensure driver safety.

📌 Features

• 📍 Real-time GPS tracking
• ⛽ Fuel consumption monitoring
• 🛠️ Engine diagnostics (OBD integration)
• 🚨 Emergency alert system
• 📊 Dashboard for analytics and reporting
• 🔐 Secure user authentication and role management
• 🌐 Web-based interface (Admin + User)

⚙️ Technologies Used

Backend

• Python
• Django (REST Framework)
• SQLite / PostgreSQL

Frontend

• HTML, CSS, JavaScript
• Bootstrap / AngularJS (optional based on your stack)

IoT & Hardware

• Proteus(For simulating IoT hardwares)
• GPS Module (e.g., NEO-6M)
• Fuel Consumption Sensor
• Engine Diagnostics via OBD-II
• GSM/GPRS module (for communication)
• Microcontroller (e.g., Arduino/ESP32)

Others

• MQTT/HTTP for data transfer
• Cloud Hosting (optional)

🛠️ Setup Instructions

1. Clone the repository

   git clone https://github.com/your-username/fleet-management-system.git
   cd fleet-management-system

2.Create virtual environment and install dependencies

python -m venv env
source env/bin/activate  # for Linux/macOS
env\Scripts\activate     # for Windows
pip install -r requirements.txt

Install Proteus

• Install Proteus and access all the proteus files to view the simulations Apply migrations -python manage.py migrate

Run the development server

• python manage.py runserver

Access the system

• Open your browser and go to http://localhost:8000/fleet

📡 IoT Device Communication The hardware devices send telemetry data to the backend using HTTP/MQTT requests. Data includes:

• Latitude & Longitude

• Fuel level %

• Engine status

• Emergency flag (if triggered)

• Ensure the microcontroller is programmed to send data at set intervals.

📊 Dashboard Features

• Map visualization of vehicle locations

• Fuel consumption trends

• Alerts & diagnostics logs

• Admin controls for managing vehicles and users

✅ Future Enhancements

• Driver behavior analysis

• Route optimization

• Predictive maintenance using ML

• SMS/Email alerts

🤝 Contributing

• Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

👨‍💻 Developed By Your Name – Rakesh.B GitHub: @Rak2k6